176 to 200 of 439 Machine Learning Jobs in London

Who are we? Hi We are Ravelin We're a fraud detection company using advanced machine learning and network analysis technology to solve big problems. Our goal is to make online transactions safer and help our clients feel confident serving their customers. And we have fun in the meantime We are a friendly bunch and pride ourselves in … you're most productive, with flexibility and support. Comprehensive BUPA Health Insurance — Stay covered with top-tier medical care for your peace of mind. £1,000 Annual Wellness and Learning Budget — Prioritise your health, well-being and learning needs with funds for fitness, mental health, and more. Monthly Wellbeing and Learning Day — Take every last Friday of More ❯

measurement and insight tools for the marketing and creator economy. Their mission is to help brands and agencies understand impact, optimise campaigns, and drive real-world results using data, machine learning, and smart product design. As Engineering Lead , you'll take ownership of a small, high-performing team of software engineers and data scientists. You'll set technical … and cloud platforms (GCP/AWS) Proven track record of leading small, high-performing teams Experience working in startups or fast-paced product environments Bonus: experience with AI/ML , AdTech , MarTech , or analytics products Why You'll Love Working Here Competitive salary: £100k-£130k + share options Generous leave: 28 days annual leave plus public holidays Hybrid flexibility: typically More ❯

best practices across the Allianz Group. Allianz Insurance supports professional qualifications, such as IFoA and CII, where considered appropriate for the business and the individual. Our team values continuous learning, you can enjoy free access to top training platforms like DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by … know everything from day one, but the following will enable you to hit the ground running: Solid knowledge of relevant statistical modelling methods – in particular GLMs. Knowledge of relevant machine learning techniques – in particular GBMs. Proven experience in working with large data sources. Good command of Advanced Excel, Python, SQL, SAS, Databricks or similar coding languages. Experience of More ❯

coverage including unit, contract, e2e and integration. Version control code with git and build, test and deploy using ci/cd pipelines. Build and test remotely on your own machine and deploy to low level envs. Participate in the review of team members code. Perform demos and join acceptance discussions with analysts, developers and product owners. Assist in task … balancing the need for a quality codebase with the unique and particular demands of scale up stage software engineering. You have experience or are keen to engage with productionising machine learning technologies. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected More ❯

between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed … many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation More ❯

experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). … Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using Vertex AI for ML workflows. Visualization & Communication: Ability to create clear visualizations and effectively communicate technical findings to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain: Significant plus if experienced with football More ❯

improve data quality, accessibility, and compliance What Were Looking For: Strong SQL skills and experience with Python Understanding of data governance, compliance, or data quality frameworks Interest in AI, machine learning, or analytics engineering Excellent communication skills and the ability to work in a collaborative, cross-functional team This is a chance to make a real impact across More ❯

pensions, insurance, or employee benefits domains. Strong SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI tools (e.g. More ❯

Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Exposure to System Design and cloud technologies More ❯

of a central data warehouse. Analytics and Innovation Lead and drive the development of advanced analytics, including predictive and prescriptive models. Initiate and manage pilots of ethical AI and machine learning use cases within the data lake(s). Identify, scope and implement opportunities to automate manual processes and enhance reporting efficiency. To be suitable for this Data More ❯

team: Data & AI, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. Our focus is on big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix More ❯

with possibility to convert to full time after the internship. Have experience programming in Python, C/C++, Java and/or experience with statistical analysis, numerical programming, or machine learning in Python, Pandas, R. Are an ambitious entrepreneur with a track record of exceptional intellectual achievement. Are a self starter, comfortable taking initiative and working independently in More ❯

team: Data & AI, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. Our focus is on big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix More ❯

teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting Lendable is revolutionising the credit card industry by making financial tools accessible, intuitive, and empowering. Zable is a More ❯

committed people, who work in a collaborative and flexible environment. We continue to drive multi-million-pound investment into our products to build advanced, AI driven analytics solutions, leveraging machine learning and high-capacity data processing capabilities. Continual investment delivers high growth opportunities in specific markets and building an in-depth knowledge of our customers, their workflows and More ❯

Experience with node-based programming, particularly ComfyUI, and the ability to create custom nodes is highly sought after. Knowledge of CGI pipelines would be an added advantage. Familiarity with machine learning frameworks such as TensorFlow and PyTorch is a valuable asset, although not mandatory. A solid understanding of image generation models, including Stable Diffusion and ControlNet, is greatly More ❯

skills and experience Design and develop Microsoft Azure AI solutions using services such as; AI Foundry, Open-AI services, and Microsoft Copilot Studio. Apply governance frameworks for AI/ML models. Python knowledge to automate processes Large datasets experience, including data preprocessing, feature engineering, and model evaluation. Agile development of AI solution from concept to deployment to continuous improvement. Create More ❯

with enterprise clients to align AI with business goals Ensure AI solutions are ethical, scalable, and production-ready What You’ll Bring Experience delivering and scaling enterprise AI/ML systems Hands-on expertise with cloud AI platforms (AWS, Azure, etc.) Strong Python engineering skills + FastAPI, CI/CD, MLOps, LLM tooling Leadership across cross-functional engineering teams If More ❯

Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication — distinct from production ML engineering. 2. Key Responsibilities Translate business questions into data science problems and analytical workflows Conduct data wrangling, exploratory analysis, and hypothesis testing Develop statistical models and predictive tools for decision More ❯

and LLM APIs Knowledge of prompt engineering, vector databases (Pinecone, ChromaDB, FAISS), and model fine-tuning Cloud deployment experience with Docker/Kubernetes Understanding of transformer architectures, AI/ML principles, and MLOps Experience developing REST APIs Desirable Exposure to Insurtech or Fintech Familiarity with insurance workflows or policy administration systems Why Join? Work on high-impact AI projects with More ❯

Experience Proven experience leading technical delivery of AI/automation solutions using Microsoft Copilot Studio and Power Platform. Hands-on expertise in Python for automation, integration, or AI/ML tasks. Strong understanding of MCP (Microsoft Cloud Platform), A2A (Application-to-Application) integration, and Azure AI Foundry. Track record of embedding controls, governance, and compliance in technical solutions. Experience in More ❯

Experience Proven experience leading technical delivery of AI/automation solutions using Microsoft Copilot Studio and Power Platform. Hands-on expertise in Python for automation, integration, or AI/ML tasks. Strong understanding of MCP (Microsoft Cloud Platform), A2A (Application-to-Application) integration, and Azure AI Foundry. Track record of embedding controls, governance, and compliance in technical solutions. Experience in More ❯

and LLM APIs Knowledge of prompt engineering, vector databases (Pinecone, ChromaDB, FAISS), and model fine-tuning Cloud deployment experience with Docker/Kubernetes Understanding of transformer architectures, AI/ML principles, and MLOps Experience developing REST APIs Desirable Exposure to Insurtech or Fintech Familiarity with insurance workflows or policy administration systems Why Join? Work on high-impact AI projects with More ❯

vector databases (Pinecone, ChromaDB, FAISS) Proven team leadership and mentoring skills ; managing 3-5 engineers Cloud deployment experience with Docker/Kubernetes Deep understanding of transformer architectures, AI/ML principles, and MLOps Experience developing REST APIs and Agentic AI frameworks (LangGraph, Crew AI) Desirable Experience in Insurtech or Fintech domains Knowledge of insurance workflows or policy administration systems Team More ❯

vector databases (Pinecone, ChromaDB, FAISS) Proven team leadership and mentoring skills ; managing 3-5 engineers Cloud deployment experience with Docker/Kubernetes Deep understanding of transformer architectures, AI/ML principles, and MLOps Experience developing REST APIs and Agentic AI frameworks (LangGraph, Crew AI) Desirable Experience in Insurtech or Fintech domains Knowledge of insurance workflows or policy administration systems Team More ❯